Sparse Trajectory Prediction Based on Multiple Entropy Measures

Sparse Trajectory Prediction Based on Multiple Entropy Measures

Trajectory prediction is an important problem that has a large number of applications. A common approach to trajectory prediction is based on historical trajectories. However, existing techniques suffer from the “data sparsity problem”. The available historical trajectories are far from enough to co...

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Bibliographic Details
Main Authors: Lei Zhang, Leijun Liu, Zhanguo Xia, Wen Li, Qingfu Fan
Format: Article
Language:English
Published: MDPI AG 2016-09-01
Series:Entropy
Subjects:
sparse trajectory prediction
trajectory entropy
location entropy
time entropy
2nd-order Markov model
Online Access:http://www.mdpi.com/1099-4300/18/9/327

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http://www.mdpi.com/1099-4300/18/9/327

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